Solving a new robust green cellular manufacturing problem with environmental issues under uncertainty using Benders decomposition. Issue 7 (3rd July 2019)

• Record Type: Journal Article
• Authors: Raoofpanah, Hossein; Ghezavati, Vahidreza; Tavakkoli-Moghaddam, Reza
• Is Part Of: Engineering optimization. Volume 51:Issue 7(2019)
• Page Start: 1229
• Page End: 1250
• Publication Date: 2019-07-03
• Subjects: Cellular manufacturing systems -- environmental issues -- green production -- uncertainty -- Benders decomposition method; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2018.1517258
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: A cellular manufacturing system is a practical tool of group technology philosophy in a production environment. Although environmental issues have a significant impact on production processes, green considerations have not been studied in detail for such problems. This article aims to fill the gap by proposing a new mathematical model in which environmental issues, such as pollution caused by production and transportation modes, as well as waste, are considered. In addition, production planning and inventory balance among different periods are considered. Moreover, it is assumed that the processing times of products are uncertain and so a robust optimization approach is used to handle such uncertainty. The presented model is solved by the Benders decomposition algorithm. According to the outputs, the demand has the greatest effect on cell formation cost. Finally, the effect of green parameters on optimality is investigated.